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Record W2332981812 · doi:10.1017/s0266464x15000226

Currents in the Cross-Legal: Recontextualizing Terence Rattigan’s <i>The Winslow Boy</i>

2015· article· en· W2332981812 on OpenAlexaboutno aff
Alex Feldman

Bibliographic record

VenueNew Theatre Quarterly · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsParallelsNovellaPoliticsLiteratureHistoryArtLawSociologyPolitical science

Abstract

fetched live from OpenAlex

Though Terence Rattigan’s reputation as a playwright has successfully been revived in recent years, critical responses to the plays – The Winslow Boy (1946) being a case in point – remain limited to the perspectives of British theatre history and British party politics. Paying particular attention to ‘cross-legal’ parallels between The Winslow Boy and a variety of historical and fictional analogues, Alex Feldman restores the play to a broader frame of reference, and to some of its original contexts of production and reception. First considering Rattigan’s juvenile dramatic forays into the law, including his adaptation of A Tale of Two Cities , he proceeds to explore archival evidence of The Winslow Boy ’s European reception, pursuing parallels drawn by reviewers with the Nuremberg trials, the Dreyfus case, and Heinrich von Kleist’s 1811 novella, Michael Kohlhaas , re-positioning The Winslow Boy within the transnational and transhistorical legal imaginary to which it properly belongs. Alex Feldman is an Assistant Professor of English at MacEwan University in Alberta. His first book, Dramas of the Past on the Twentieth-Century Stage: in History’s Wings , was published by Routledge in 2012.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.290
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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